Patient Data as Medical Facts: Social Media Practices as a Foundation for Medical Knowledge Creation

Kallinikos, Jannis; Tempini, Niccolò

doi:10.1287/isre.2014.0544

Cited by 104 publications

(71 citation statements)

References 45 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Peer networks may help patients cope with handling their disease, help navigating the health system or contribute to political work such as awareness and attention to specific patient groups. Based on collecting patient data that are shared in such peer networks, new types of research are becoming now feasible, sometimes organized and coordinated by the patient collectives themselves (Kallinikos and Tempini 2014).…”

Section: Drivers For Patient-oriented Ehealth Projectsmentioning

confidence: 99%

Information Infrastructures for eHealth

Aanestad

Grisot

Hanseth

et al. 2017

Information Infrastructures Within European Health Care

View full text Add to dashboard Cite

Section: Drivers For Patient-oriented Ehealth Projectsmentioning

confidence: 99%

Information Infrastructures for eHealth

Aanestad

Grisot

Hanseth

et al. 2017

Information Infrastructures Within European Health Care

View full text Add to dashboard Cite

“…The web-based system was purposefully designed with the aim to guide citizens (cfr. Tempini 2015; Kallinikos and Tempini 2014) to allocate the majority of maintenance requests to a selected number of classes, for enabling automated handling of the cases. Citizens are responsible for classifying the problem that they are reporting but not for the identification of the organization responsible for its solution.…”

Section: Iris: Functional Simplification Closure and E-bureaucracymentioning

confidence: 99%

E-government and organizational change: Reappraising the role of ICT and bureaucracy in public service delivery

Cordella

Tempini

2015

Government Information Quarterly

Self Cite

191

102

View full text Add to dashboard Cite

show abstract

“…However, to construct the possibility for community and foster social networking, the system is designed to display data-intensive information nearly everywhere on patient-facing web pages (see also Kallinikos & Tempini, 2014). It relies on data-intensive functionalities to host and foster sociality and to represent the health of patients through visual, numerical and textual analytics that continually compute the underlying database of patient data.…”

Section: Empirical Findings 41 Research Settingmentioning

confidence: 99%

“…Patterns of data use and value creation are made complex and unpredictable also because, in an intricate data circulation structure, standardized data are used for the construction of the community itself and the structuring and pacemaking of its life -through techniques of aggregation and computation (Kallinikos & Tempini, 2014;Tempini, 2015). A whole set of computational and visualization features are aimed at making data movable and meaningful to different end-users.…”

Section: Data-intensiveness and Use Complexitymentioning

confidence: 99%

“…Users are able to access information resources generated by the network that otherwise would be very cumbersome, if not impossible, to generate. New forms of community life and sociality can emerge and be supported on an unprecedented scale (Bowker, 2013;Kallinikos & Tempini, 2014). The capacity of collaborative interactions to cut across boundaries has helped elevate these phenomena through the promise they hold for a more connected society and new forms of emancipated sociality (Feenberg, 2010;Feenberg et al, 1996;Josefsson & Hanseth, 2000).…”

Section: Introduction: Value Questions In Data Infrastructuresmentioning

confidence: 99%

See 1 more Smart Citation

Till data do us part: Understanding data-based value creation in data-intensive infrastructures

Tempini

2017

Information and Organization

Self Cite

View full text Add to dashboard Cite

Much of the literature on value creation in social media-based infrastructures has largely neglected the pivotal role of data and their processes. This paper tries to move beyond this limitation and discusses data-based value creation in data-intensive infrastructures, such as social media, by focusing on processes of data generation, use and reuse, and on infrastructure development activities. Building on current debates in value theory, the paper develops a multidimensional value framework to interrogate the data collected in an embedded ethnographical case study of the development of PatientsLikeMe, a social media network for patients. It asks when, and where, value is created from the data, and what kinds of value are created from them, as they move through the data infrastructure; and how infrastructure evolution relates to, and shapes, existing data-based value creation practices. The findings show that infrastructure development can have unpredictable consequences for data-based value creation, shaping shared practices in complex ways and through a web of interdependent situations. The paper argues for an understanding of infrastructural innovation that accounts for the situational interdependencies of data use and reuse. Uniquely positioned, the paper demonstrates the importance of research that looks critically into processes of data use in infrastructures to keep abreast of the social consequences of developments in big data and data analytics aimed at exploiting all kinds of digital traces for multiple purposes.

show abstract

Patient Data as Medical Facts: Social Media Practices as a Foundation for Medical Knowledge Creation

Cited by 104 publications

References 45 publications

Information Infrastructures for eHealth

Information Infrastructures for eHealth

E-government and organizational change: Reappraising the role of ICT and bureaucracy in public service delivery

Till data do us part: Understanding data-based value creation in data-intensive infrastructures

Contact Info

Product

Resources

About